• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.550-560
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• 2017

Purpose: This study is descriptive correlation study to identify the factors on career identity of nursing students. Methods: From october $15^{th}$ to november 5th, 2016, data was collected through convenience sampling of 177 college students based on C province, two G provinces. Statistical analysis of t-test, ANOVA, Pearson's correlation coefficients, and multiple regression analysis was performed through the SPSS WIN 21.0. Results: career identity is significantly positively related with self-esteem, and negatively related with depression (r=-.529, p<.001). Nursing students' verbal abuse is significantly positively related with sexual violence (r=.615, p<.001), depression (r=.540, p<.001) and sexual violence and depression are significantly negatively related (r=.299, p<.001) and depression and self-esteem are significantly negatively related (r=-.390, p<.001).Variables that affect career identity include depression, self-esteem, grade, and whether they belong to a specific hospital. The total explanation of career identity was 52.2%. Conclusions: These results suggest that educational intervention is needed to improve the career identity among nursing students. It is necessary to encourage students to proactively seek abuse preventive measures.

• The KIPS Transactions:PartB
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• v.17B no.5
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• pp.399-404
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• 2010

In this paper, we propose a method for precision improvement based on core clusters and term proximity. The method is composed by three steps. The initial retrieval documents are clustered based on query term combination, which occurred in the document. Core clusters are selected by using proximity between query terms. Then, the documents in core clusters are reranked based on context information of query. On TREC AP test collection, experimental results in precision at the top documents(P@100) show that the proposed method improved 11.2% over the language model.

• Language and Information
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• v.16 no.2
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• pp.43-66
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• 2012

In this paper, I attempt to define the semantics of cikum 'now' in Korean. To define it precisely, we need to look at how it interacts with different aspectual classes of verbs and with the semantics of tenses and aspects. In doing this we need to define the semantics of tenses and aspects. Here we run into the question of whether ess is a tense marker or an aspect marker. I assume that it is ambiguous. There are still cases where it is not clear whether ess is used as a tense marker or an aspect marker in an actual sentence. I discuss two such cases: one in which it is used with verbs like tochakha 'arrive' which have no salient resulting states, and one in which a state verb is used with cikum-kkaci 'until now'. The semantics of cikum can be defined differently depending on whether ess is a tense or an aspect. By discussing ko iss, which is an imperfect marker, I conclude that cikum means ${\lambda}P{\lambda}i[u{\subseteq}i{\wedge}P(i)]$, that is, a relation between a set of times which include an utterance time and a set of properties of times.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.507-511
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• 2022

문법 교정 모델은 입력된 텍스트에 존재하는 문법 오류를 탐지하여 이를 문법적으로 옳게 고치는 작업을 수행하며, 학습자에게 더 나은 학습 경험을 제공하기 위해 높은 정확도와 재현율을 필요로 한다. 이를 위해 최근 연구에서는 문단 단위 사전 학습을 완료한 모델을 맞춤법 교정 데이터셋으로 미세 조정하여 사용한다. 하지만 본 연구에서는 기존 사전 학습 방법이 문법 교정에 적합하지 않다고 판단하여 문단 단위 데이터셋을 문장 단위로 나눈 뒤 각 문장에 G2P 노이즈와 편집거리 기반 노이즈를 추가한 데이터셋을 제작하였다. 그리고 문단 단위 사전 학습한 모델에 해당 데이터셋으로 문장 단위 디노이징 사전 학습을 추가했고, 그 결과 성능이 향상되었다. 노이즈 없이 문장 단위로 분할된 데이터셋을 사용하여 디노이징 사전 학습한 모델을 통해 문장 단위 분할의 효과를 검증하고자 했고, 디노이징 사전 학습하지 않은 기존 모델보다 성능이 향상되는 것을 확인하였다. 또한 둘 중 하나의 노이즈만을 사용하여 디노이징 사전 학습한 두 모델의 성능이 큰 차이를 보이지 않는 것을 통해 인공적인 무작위 편집거리 노이즈만을 사용한 모델이 언어학적 지식이 필요한 G2P 노이즈만을 사용한 모델에 필적하는 성능을 보일 수 있다는 것을 확인할 수 있었다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.541-545
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• 2018

본 논문에서는 Sent2Vec을 이용한 문장 임베딩으로 구현한 유사 문장 판별 시스템을 제안한다. 또한 한국어 특성에 맞게 모델을 개선하여 성능을 향상시키는 방법을 소개한다. 고성능 라이브러리 구현과 제품화 가능한 수준의 완성도 높은 구현을 보였으며, 자체 구축한 평가셋으로 한국어 특성을 반영한 모델에 대한 P@1 평가 결과 Word2Vec CBOW에 비해 9.25%, Sent2Vec에 비해 1.93% 더 높은 성능을 보였다.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.128-131
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• 2020

엔터티 링킹은 주어진 문서 상에서 엔터티가 내포된 부분에 어떤 엔터티가 연결되어야 하는 지를 판단하는 작업이다. 따라서, 이 과정에서 엔터티의 표상을 얻어내는 것이 엔터티 링킹의 성능에 큰 영향을 끼치게 된다. 이 논문에서는 RELIC을 통해 엔터티 임베딩을 얻어내고, 이를 엔터티 링킹에 적용시킨 결과 0.57%p의 성능 향상을 이루었다.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.400-403
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• 2019

스타일 변환(Style Transfer)은 주어진 문장의 긍정이나 부정 같은 속성을 변경하여 다른 속성을 갖는 문장으로 변환하는 과정을 의미한다. 본 연구에서는 스타일 변환을 위한 단어 n-그램 삭제의 기준을 확장하였고, 네이버 영화리뷰 데이터셋을 통해 이를 스타일 변환 이후 원래 문장의 스타일로부터 얼마나 차이가 나게 되었는지를 측정하였다. 측정은 감성분석기를 통해 이루어졌고, 기존 방법에 비해 6.28%p정도 높은 75.13%의 정확도를 보였다.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.7 no.1
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• pp.50-55
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• 1996

Acoustic analysis study was performed on 20 normal subjects by speaking nonsense syllables composed of Korean bilabial stops$(/P, P^{\star}, P^{h}/)$ and their preceding and/or following vowel /a/ (that is, $[pa, p^{\star}a, p^{h}a, apa, ap^{\star}a, ap^{h}a]$) with an ultraminiature pressure, sensor. in their mouths. Speech materials were phonated twice, once with a moderate voice, another time with a loud voice. The acoustic signal and intraoral pressure were recorded simultaneously on computer. By these procedures, we were to measure the intraoral pressure, closure duration and VOT of Korean bilabial stops, and to compare the values one another according to the intensity of phonation and the position of the target consonants. Intraoral pressure was measured by the peak intraoral pressure value of Its wave closure duration by the time interval between the onset of intraoral pressure build-up and the burst meaning the release of closure ; Voice onset time(VOT) on by the time interval between the burst and the onset or glottal vibration. Heavily aspirated bilabial stop consonant /$p^h$/ showed the highest intraoral pressure value, unaspirated /$p^{\star}$/, the second, slightly aspirated /P/, the lowest. The syllable initial bilabial stops showed higher intraoral pressure than word initial stops, and the value of loudly phonated consonants were higher than moderate consonants. The longest closure duration period was that of /$p^{\star}$/ and the shortest, /P/, and the duration was longer in word initial position and in the moderate voice. In VOT, the order of the longest to shortest was $/{p^h}/, /p/, /{p^\star}/$, and the value was shorer when the consonant was in intervocalic position and when it was phonated with a loud voice.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.457-466
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• 2021

This study sought to identify the effectiveness of training programs by developing mobile app-based training programs to enhance memory, attention, and language function, which is known to be vulnerable to menopause women. It was conducted on 40 Climacteric woman between 40 to 60 years complaining about cognitive function decline. The mobile app-based cognitive training was an 8 week program. There were a total of 24 sessions and each session took 20-30 minutes, three times per week. The survey was carried out including a baseline study pre and post intervention study. The research variables were objective cognitive function (overall cognitive function, memory, attention, and language function), subjective cognitive function and quality of life. The cognitive training program showed a significant increase in overall cognitive function(t=-8.688, p<.001), memory(t=-4.765, p<.001), attention : number of correct answers(t=-7.293, p<.001), language high frequency response speed(Z=-2.179, p=.036), language low frequency response speed(Z=-2.737, p=.009) and quality of life (t=-3.358, p=.002). However, there was no significant difference in the scores for subjective cognitive function. The cognitive training program was found to be an effective intervention for improving the cognitive function of Climacteric women. It could be used as a cognitive intervention tool that is accessible at home without expert help.

• Investigative Magnetic Resonance Imaging
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• v.6 no.1
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• pp.28-34
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• 2002

Purpose : The minimum stimulus onset asynchronoy(SOAmin) is one of important experimental parameters for an event-related fMRI experiment designed with the stochastic stimulus. In this study, the most efficient SOAmin is explored for the stronger activation in motor and language tasks with the stimulus designed stochastically. Materials and methods : The event-related fMRI during motor and language tasks were obtained in four normal right-handed subjects. EPI-BOLD sequence is used at 1.5Tesla MR system for the acquisition of event-related fMRI. For each task the subjects are responded for the stimulus' with 2, 3, 4, and 6 seconds SOAmin. The obtained images are processed with SPM99, and the p value is set as 0.05 for the significant activation detection. The Z value and the number of activated pixels are compared for each task. Results : For the motor task, the primary and supplementary motor areas are activated, and for the language task the consistent activated signals are detected in the Broca's. The activated signal is to be stronger for the shorter SOAmin for both motor and language tasks. At primary motor area, the activated signals is the strongest for 3 seconds SOAmin and for the supplementary motor area the result with 2 seconds SOAmin shows the strongest activation. And the result of language task shows the strongest activation at the 2 seconds SOAmin. Conclusion : In the event-related fMRI of motor and language tasks with the stochastically designed stimulus, the 2 or 3 seconds SOAmin is efficient for more activated and clustered activation.